- [Instructor] I hope you've enjoyed and learned…from this course on meta-analysis.…The field continues to mature and grow…and it seems as though new methods, agreements,…and controversies pop up every few months.…If you want to get the current state of thinking…about meta-analysis, you might want to search…for websites that cover the Reproducibility Project…which attempts to replicate important empirical findings…in fields such as medicine and psychology…with the aim of confirming them where possible…and finding the reasons if the studies fail to replicate.…

Meta-analysis, which seeks to quantify the strength…of a given treatment or other phenomenon,…is an important tool in the Reproducibility Project's kit.…The project is a fine place to start…if you want to read more.…Thanks for watching this course on meta-analysis.…

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11/2/2017

In a world where nearly everyone uses data to inform their business methodologies, an emerging consensus is that more emphasis needs to be placed on validating data; verifying that data-driven conclusions are accurate; and minimizing the risk that your conclusions are incorrect. Although most researchers know what meta-analysis is, few understand how to calculate an effect size from popular metrics such as risk ratios, or how the distinction between fixed and random effects can lead the meta-analyst astray. This advanced-level course for data science and statistics practitioners and researchers covers raw mean differences—specifically for experimental and comparison groups—and how to convert useful outcome measures such as relative risk and odds ratios to commensurate measures of effect size. Plus, learn about how confidence intervals are created for binary outcome measures.